SAS Viya

JSON twin: https://www.healthaidb.com/software/sas-viya.json

Company Name

SAS Institute

Product URL

https://www.sas.com/en_us/software/viya.html

Company URL

https://www.sas.com

Categories

• data Management
• health Data Analytics
• ai Clinical Documentation Integrity
• cloud-based Solutions
• integration Platform
• low-code/no-code Interface
• software Development
• infrastructure Management
• software Deployment
• Advanced Analytics
• Ai Model Development
• Cloud Computing
• Open-source Integration
• Scalability
• Fault Tolerance
• Deployment Flexibility
• On-premises Solutions

Summary

SAS Viya is a cloud-native AI and analytics platform that enables organizations to perform data management, advanced analytics, and AI model development across various environments.

Description

SAS Viya is a comprehensive, cloud-native platform developed by SAS Institute, designed to facilitate data management, advanced analytics, and AI model development. It supports multiple programming languages, including Python, R, Java, and Lua, and integrates with open-source tools, allowing users to build models using their preferred languages. The platform offers a low-code/no-code interface, enabling users of varying technical expertise to manage data, develop AI models, and deploy insights efficiently. SAS Viya is available on major cloud platforms such as Amazon AWS, Google Cloud, Microsoft Azure, and Red Hat OpenShift, providing flexibility in deployment options. It is also available on the HPE GreenLake Marketplace, offering on-premises solutions. The platform is recognized for its scalability, fault tolerance, and ability to handle large-scale analytics projects, making it suitable for organizations seeking to leverage AI and advanced analytics for data-driven decision-making.

Api Available

yes

Certifications

• ISO/IEC 27001
• ISO/IEC 27017
• ISO/IEC 27018
• ISO/IEC 28000:2007
• Cyber Essentials
• Cyber Essentials Plus
• SOC 2
• SOC 3
• NCSC 14 principles for cloud computing
• EU-US Data Privacy Framework
• Swiss-US Data Privacy Framework
• UK Extension of the EU-US Data Privacy Framework

Company Founding

1976

Company Offices

• United States
• Canada
• United Kingdom
• Germany
• France
• Australia
• India
• Japan
• South Korea
• Brazil

Compliance

• HIPAA
• GDPR
• HITECH
• SOC 2
• ISO 27001
• ISO 27017
• ISO 27018
• ISO 28000:2007
• Cyber Essentials
• Cyber Essentials Plus
• NCSC 14 principles for cloud computing
• EU-US Data Privacy Framework
• Swiss-US Data Privacy Framework
• UK Extension of the EU-US Data Privacy Framework

Customers

• SAS Institute
• SAS Viya

Data Residency

US/EU regions, BYO cloud region

Data Standards

• FHIR
• HL7 v2
• DICOM
• SNOMED
• ICD-10
• LOINC
• CPT
• ICD-9
• NDC
• RxNorm

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• Data Management
• Advanced Analytics
• Machine Learning
• Model Deployment
• Data Visualization
• Data Governance
• Collaboration Tools
• Scalability
• Security and Administration

Id

SW2200

Integration Partners

• Python
• R
• SAS Visual Analytics
• SAS Visual Investigator
• SAS Build Models
• SAS Environment Manager
• SAS Studio
• SAS Data Studio
• SAS VTA
• SAS Cloud Analytics
• SAS Data Science Programming
• SAS Visual Forecasting

Integrations

• Snowflake
• LDAP
• Active Directory
• Hadoop
• Teradata
• Greenplum
• Oracle
• SQL Server
• DB2
• Amazon S3
• Azure Blob Storage
• Google Cloud Storage
• HDFS
• Jupyter Notebooks
• RStudio
• Python
• Java
• REST APIs
• SAS 9.4M5
• SAS 9.4M6

Languages Supported

• English
• Spanish
• French
• German
• Italian
• Portuguese
• Dutch
• Swedish
• Norwegian
• Danish
• Finnish
• Russian
• Chinese
• Japanese
• Korean
• Arabic
• Hindi
• Bengali
• Punjabi
• Tamil

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb
• consumer

Optional Modules

• SAS Business Orchestration Services
• SAS Event Stream Processing
• SAS Fraud Management
• SAS Intelligence and Investigation Management
• SAS Visual Investigator

Os Platforms

• Linux
• Windows
• macOS
• iOS
• Android

Pricing Details

Contact vendor for pricing information.

Pricing Model

subscription

Privacy Features

• BAA available
• Consent Management
• Anonymization
• Data Minimization
• Data Residency Controls
• Data Access Controls
• Data Retention Policies
• Data Deletion Policies
• Data Portability
• Data Integrity

Product Code

SW2200

Product Name

SAS Viya

Ratings

• 4.3 out of 5 (507 reviews) - G2
• 4.4 out of 5 (1,091 reviews) - G2
• 5 out of 5 - G2

Regions Available

• United States
• Canada
• United Kingdom
• Germany
• France
• Australia
• India
• Japan
• South Korea
• Brazil
• Mexico
• South Africa
• China
• Singapore
• Malaysia
• New Zealand
• Italy
• Spain
• Netherlands
• Sweden

Related Urls

• https://elion.health/products/sas-viya

Release Year

2016

Security Features

• Encryption
• RBAC
• SSO/SAML
• Audit Logs
• 2FA
• DLP
• Access Controls
• Data Masking
• Network Security
• Incident Response

Specialties

• Data Management
• Advanced Analytics
• Ai Model Development
• Cloud Computing
• Open-source Integration
• Low-code/no-code Development
• Scalability
• Fault Tolerance
• Deployment Flexibility
• On-premises Solutions

Support Channels

• email
• phone
• chat
• ticketing
• community
• 24x7

System Requirements

Red Hat Enterprise Linux 7.1 and later, Oracle Enterprise Linux 7.1 and later, SUSE Linux Enterprise Server 12.2 and later, Windows Server 2012 R2 and later, Windows Server 2016 and later, Windows Server 2019 and later, macOS 10.10 and later, iOS 10 and later, Android 5.0 and later

Target Users

• data scientists
• engineers
• business analysts
• developers
• IT administrators
• decision-makers

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• SAS Viya 3.5 offers a wide range of statistical algorithms and features in an environment that integrates all solutions, is easy to use, and facilitates automation through REST APIs. In addition, it provides high computational power in a distributed processing environment.
• The ability to seamlessly integrate projects in Python and R is the biggest differentiator for me. The platform is extremely robust for predictive modeling and machine learning, and the visual interface of Model Studio greatly speeds up the work of data scientists. Cloud scalability is also a strong point.
• The integration— all features and solutions is created for a streamlined process. From data to model in production and by a high performance computing platform helps to accelerate business cases development.
• I use SAS daily. When dealing with large datasets and trying to get to an insight in a quick way, SAS Viya is the tool that will get you there. The platform allows multiple languages to be used. It has a multitude of applications and integrates perfectly with external applications and data sources. You will find great support and documentation available when learning it and when you need to refer back to expand your knowledge. It was a straightforward process to implement new developments and get started with totally new concepts to me when I started.

Version

1.0

Alternatives

See related products

Canonical JSON

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  "product_name": "SAS Viya",
  "company_name": "SAS Institute",
  "product_url": "https://www.sas.com/en_us/software/viya.html",
  "company_url": "https://www.sas.com",
  "related_urls": [
    "https://elion.health/products/sas-viya"
  ],
  "product_code": "SW2200",
  "summary": "SAS Viya is a cloud-native AI and analytics platform that enables organizations to perform data management, advanced analytics, and AI model development across various environments.",
  "description": "SAS Viya is a comprehensive, cloud-native platform developed by SAS Institute, designed to facilitate data management, advanced analytics, and AI model development. It supports multiple programming languages, including Python, R, Java, and Lua, and integrates with open-source tools, allowing users to build models using their preferred languages. The platform offers a low-code/no-code interface, enabling users of varying technical expertise to manage data, develop AI models, and deploy insights efficiently. SAS Viya is available on major cloud platforms such as Amazon AWS, Google Cloud, Microsoft Azure, and Red Hat OpenShift, providing flexibility in deployment options. It is also available on the HPE GreenLake Marketplace, offering on-premises solutions. The platform is recognized for its scalability, fault tolerance, and ability to handle large-scale analytics projects, making it suitable for organizations seeking to leverage AI and advanced analytics for data-driven decision-making.",
  "categories": [
    "data Management",
    "health Data Analytics",
    "ai Clinical Documentation Integrity",
    "cloud-based Solutions",
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    "low-code/no-code Interface",
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    "infrastructure Management",
    "software Deployment",
    "Data Management",
    "Advanced Analytics",
    "Ai Model Development",
    "Cloud Computing",
    "Open-source Integration",
    "Low-code/no-code Interface",
    "Scalability",
    "Fault Tolerance",
    "Deployment Flexibility",
    "On-premises Solutions"
  ],
  "market_segment": [
    "enterprise",
    "smb",
    "consumer"
  ],
  "target_users": [
    "data scientists",
    "engineers",
    "business analysts",
    "developers",
    "IT administrators",
    "decision-makers"
  ],
  "specialties": [
    "Data Management",
    "Advanced Analytics",
    "Ai Model Development",
    "Cloud Computing",
    "Open-source Integration",
    "Low-code/no-code Development",
    "Scalability",
    "Fault Tolerance",
    "Deployment Flexibility",
    "On-premises Solutions"
  ],
  "regions_available": [
    "United States",
    "Canada",
    "United Kingdom",
    "Germany",
    "France",
    "Australia",
    "India",
    "Japan",
    "South Korea",
    "Brazil",
    "Mexico",
    "South Africa",
    "China",
    "Singapore",
    "Malaysia",
    "New Zealand",
    "Italy",
    "Spain",
    "Netherlands",
    "Sweden"
  ],
  "languages_supported": [
    "English",
    "Spanish",
    "French",
    "German",
    "Italian",
    "Portuguese",
    "Dutch",
    "Swedish",
    "Norwegian",
    "Danish",
    "Finnish",
    "Russian",
    "Chinese",
    "Japanese",
    "Korean",
    "Arabic",
    "Hindi",
    "Bengali",
    "Punjabi",
    "Tamil"
  ],
  "pricing_model": "subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "commercial",
  "company_offices": [
    "United States",
    "Canada",
    "United Kingdom",
    "Germany",
    "France",
    "Australia",
    "India",
    "Japan",
    "South Korea",
    "Brazil"
  ],
  "company_founding": "1976",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Linux",
    "Windows",
    "macOS",
    "iOS",
    "Android"
  ],
  "features": [
    "Data Management",
    "Advanced Analytics",
    "Machine Learning",
    "Model Deployment",
    "Data Visualization",
    "Data Governance",
    "Collaboration Tools",
    "Scalability",
    "Security and Administration"
  ],
  "optional_modules": [
    "SAS Business Orchestration Services",
    "SAS Event Stream Processing",
    "SAS Fraud Management",
    "SAS Intelligence and Investigation Management",
    "SAS Visual Investigator"
  ],
  "integrations": [
    "Snowflake",
    "LDAP",
    "Active Directory",
    "Hadoop",
    "Teradata",
    "Greenplum",
    "Oracle",
    "SQL Server",
    "DB2",
    "Amazon S3",
    "Azure Blob Storage",
    "Google Cloud Storage",
    "HDFS",
    "Jupyter Notebooks",
    "RStudio",
    "Python",
    "Java",
    "REST APIs",
    "SAS 9.4M5",
    "SAS 9.4M6"
  ],
  "data_standards": [
    "FHIR",
    "HL7 v2",
    "DICOM",
    "SNOMED",
    "ICD-10",
    "LOINC",
    "CPT",
    "ICD-9",
    "NDC",
    "RxNorm"
  ],
  "api_available": "yes",
  "system_requirements": "Red Hat Enterprise Linux 7.1 and later, Oracle Enterprise Linux 7.1 and later, SUSE Linux Enterprise Server 12.2 and later, Windows Server 2012 R2 and later, Windows Server 2016 and later, Windows Server 2019 and later, macOS 10.10 and later, iOS 10 and later, Android 5.0 and later",
  "compliance": [
    "HIPAA",
    "GDPR",
    "HITECH",
    "SOC 2",
    "ISO 27001",
    "ISO 27017",
    "ISO 27018",
    "ISO 28000:2007",
    "Cyber Essentials",
    "Cyber Essentials Plus",
    "NCSC 14 principles for cloud computing",
    "EU-US Data Privacy Framework",
    "Swiss-US Data Privacy Framework",
    "UK Extension of the EU-US Data Privacy Framework"
  ],
  "certifications": [
    "ISO/IEC 27001",
    "ISO/IEC 27017",
    "ISO/IEC 27018",
    "ISO/IEC 28000:2007",
    "Cyber Essentials",
    "Cyber Essentials Plus",
    "SOC 2",
    "SOC 3",
    "NCSC 14 principles for cloud computing",
    "EU-US Data Privacy Framework",
    "Swiss-US Data Privacy Framework",
    "UK Extension of the EU-US Data Privacy Framework"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "SSO/SAML",
    "Audit Logs",
    "2FA",
    "DLP",
    "Access Controls",
    "Data Masking",
    "Network Security",
    "Incident Response"
  ],
  "privacy_features": [
    "BAA available",
    "Consent Management",
    "Anonymization",
    "Data Minimization",
    "Data Residency Controls",
    "Data Access Controls",
    "Data Retention Policies",
    "Data Deletion Policies",
    "Data Portability",
    "Data Integrity"
  ],
  "data_residency": "US/EU regions, BYO cloud region",
  "customers": [
    "SAS Institute",
    "SAS Viya"
  ],
  "user_reviews": [
    "SAS Viya 3.5 offers a wide range of statistical algorithms and features in an environment that integrates all solutions, is easy to use, and facilitates automation through REST APIs. In addition, it provides high computational power in a distributed processing environment.",
    "The ability to seamlessly integrate projects in Python and R is the biggest differentiator for me. The platform is extremely robust for predictive modeling and machine learning, and the visual interface of Model Studio greatly speeds up the work of data scientists. Cloud scalability is also a strong point.",
    "The integration— all features and solutions is created for a streamlined process. From data to model in production and by a high performance computing platform helps to accelerate business cases development.",
    "I use SAS daily. When dealing with large datasets and trying to get to an insight in a quick way, SAS Viya is the tool that will get you there. The platform allows multiple languages to be used. It has a multitude of applications and integrates perfectly with external applications and data sources. You will find great support and documentation available when learning it and when you need to refer back to expand your knowledge. It was a straightforward process to implement new developments and get started with totally new concepts to me when I started."
  ],
  "ratings": [
    "4.3 out of 5 (507 reviews) - G2",
    "4.4 out of 5 (1,091 reviews) - G2",
    "5 out of 5 - G2"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2016",
  "integration_partners": [
    "Python",
    "R",
    "SAS Visual Analytics",
    "SAS Visual Investigator",
    "SAS Build Models",
    "SAS Environment Manager",
    "SAS Studio",
    "SAS Data Studio",
    "SAS VTA",
    "SAS Cloud Analytics",
    "SAS Data Science Programming",
    "SAS Visual Forecasting"
  ],
  "id": "SW2200",
  "slug": "sas-viya",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/sas-viya.json"
  }
}